논문상세정보
Drawing Causal Inferences Using Propensity Score Methods in Educational Research
김준엽
정혜경
Michael H. seltzer
2008년
' Drawing Causal Inferences Using Propensity Score Methods in Educational Research' 의 참고문헌
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Using propensity score to help design observational studies: Application to the tobacco litigation
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Using propensity score subclassification for multiple treatment doses to evaluate a national antidrug media campaign
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Tutorial in biostatistics: Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group
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The use of hierarchical models in analyzing data from experiments and quasi?experiments conducted in field settings in:The handbook of quantitative methodology for the social sciences
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The role of the propensity score in estimating dose
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The propensity score with continuous treatment in:Applied Bayesian modeling and causal inference from incomplete?data perspectives
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The estimation of causal effects from observational data
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The central role of the propensity score in observational studies for causal effects
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Teaching statistical inference for causal effects in experiments and observational studies
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Studying the sensitivity of inference to possible unmeasured confounding variables in multisite evaluations
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Studying the causal effect of instruction with application to primary?school mathematics
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Statistics and causal inference
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Reducing bias in observational studies using subclassification on the propensity score
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Public and private schools: A report to the national center for education statistics by the national opinion research center
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Optimal matching for observational studies
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Observational studies
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Impact of a confounding variable on a regression coefficient
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Experimental and quasi experimental designs for generalized causal inference
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Evaluating kindergarten retention policy: A case study of causal observation data
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Estimation of causal effects using propensity score weighting: An application to data on right heart catheterization
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Estimating causal effects using school?level data sets
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Estimating causal effects of treatment in randomized and nonrandomized studies
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Effects of kindergarten retention policy on children’s cognitive growth in reading and mathematics
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Effects of coaching on SAT 1: Reasoning test scores
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Dropping out of high school in the United States: An observational study
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Constructing a control group using multivariate matched sampling methods that incorporate the propensity score
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Causal inference in multilevel settings in which selection processes vary across schools
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Bayesian inference for causal effects: The role of randomization
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Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome
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Analysis of covariance: Its nature and uses
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A biometrics invited paper with discussion: Some aspects of analysis of covariance